Dockerfile

FROM rayproject/ray:nightly-cpu

# Setup Nodejs and NPM
RUN sudo apt-get update && sudo apt-get install -y curl
RUN curl -sL https://deb.nodesource.com/setup_14.x | sudo -E bash -
RUN sudo apt-get install -y nodejs

RUN mkdir -p $HOME/workspace
RUN git clone https://github.com/ray-project/ray.git $HOME/workspace/ray
WORKDIR $HOME/workspace
RUN /home/ray/anaconda3/bin/python ray/python/ray/setup-dev.py --yes

WORKDIR $HOME/workspace/ray/python/ray/new_dashboard/client
RUN sudo npm ci

COPY ray $HOME/workspace/ray
RUN sudo npm run build
RUN sudo chown -R ray ./build

ray-cluster.yaml

apiVersion: v1
kind: Namespace
metadata:
  name: ray
---
apiVersion: v1
kind: Service
metadata:
  namespace: ray
  name: ray-head
spec:
  ports:
    # Redis ports.
    - name: redis-primary
      port: 6379
      targetPort: 6379
    - name: redis-shard-0
      port: 6380
      targetPort: 6380
    - name: redis-shard-1
      port: 6381
      targetPort: 6381

    # Ray internal communication ports.
    - name: object-manager
      port: 12345
      targetPort: 12345
    - name: node-manager
      port: 12346
      targetPort: 12346

    # Ray dashboard port
    - name: ray-dashboard
      port: 8265
      targetPort: 8265
  selector:
    component: ray-head
---
apiVersion: apps/v1
kind: Deployment
metadata:
  namespace: ray
  name: ray-head
spec:
  # Do not change this - Ray currently only supports one head node per cluster.
  replicas: 1
  selector:
    matchLabels:
      component: ray-head
      type: ray
  template:
    metadata:
      labels:
        component: ray-head
        type: ray
    spec:
      # If the head node goes down, the entire cluster (including all worker
      # nodes) will go down as well. If you want Kubernetes to bring up a new
      # head node in this case, set this to "Always," else set it to "Never."
      restartPolicy: Always

      # This volume allocates shared memory for Ray to use for its plasma
      # object store. If you do not provide this, Ray will fall back to
      # /tmp which cause slowdowns if is not a shared memory volume.
      volumes:
      - name: dshm
        emptyDir:
          medium: Memory
      containers:
        - name: ray-head
          image: simonmok/ray-dev:latest
          command: [ "/bin/bash", "-c", "--" ]
          args: 
            - "ray start --head --node-ip-address=$MY_POD_IP --port=6379 --redis-shard-ports=6380,6381 --object-manager-port=12345 --node-manager-port=12346 --block"
          ports:
            - containerPort: 6379 # Redis port.
            - containerPort: 6380 # Redis port.
            - containerPort: 6381 # Redis port.
            - containerPort: 12345 # Ray internal communication.
            - containerPort: 12346 # Ray internal communication.
            - containerPort: 8265 # Ray dashboard

          # This volume allocates shared memory for Ray to use for its plasma
          # object store. If you do not provide this, Ray will fall back to
          # /tmp which cause slowdowns if is not a shared memory volume.
          volumeMounts:
            - mountPath: /dev/shm
              name: dshm
          env:
            - name: MY_POD_IP
              valueFrom:
                fieldRef:
                  fieldPath: status.podIP

          resources:
            requests:
              cpu: 100m
              memory: 512Mi
---
apiVersion: apps/v1
kind: Deployment
metadata:
  namespace: ray
  name: ray-worker
spec:
  # Change this to scale the number of worker nodes started in the Ray cluster.
  replicas: 3
  selector:
    matchLabels:
      component: ray-worker
      type: ray
  template:
    metadata:
      labels:
        component: ray-worker
        type: ray
    spec:
      restartPolicy: Always
      volumes:
      - name: dshm
        emptyDir:
          medium: Memory
      containers:
      - name: ray-worker
        image: simonmok/ray-dev:latest
        command: ["/bin/bash", "-c", "--"]
        args:
          - "ray start --node-ip-address=$MY_POD_IP --address=$RAY_HEAD_SERVICE_HOST:$RAY_HEAD_SERVICE_PORT_REDIS_PRIMARY --object-manager-port=12345 --node-manager-port=12346 --block"
        ports:
          - containerPort: 12345 # Ray internal communication.
          - containerPort: 12346 # Ray internal communication.
        volumeMounts:
          - mountPath: /dev/shm
            name: dshm
        env:
          - name: MY_POD_IP
            valueFrom:
              fieldRef:
                fieldPath: status.podIP
        resources:
          requests:
            cpu: 100m
            memory: 512Mi